AI Developer- Hybrid (US Citizens/ Green Cards- Local to DMV only)

Swingtech

  • Washington
  • 2 days ago

    Highlights

    Implement user-facing human-in-the-loop controls, including review queues, decision-support displays, overrides, approvals, escalation mechanisms, correction/feedback workflows, audit trails, and role-based access. Implement capabilities using approved LLMs, RAG pipelines, classification models, document intelligence, predictive analytics, generative AI, agentic workflows, and MCP-based services.

    Numbers & Facts

    LocationWashington

    Description

    Position Summary

    The AI Developer designs and develops secure, accessible, and maintainable AI-enabled applications, APIs, interfaces, and workflow automations. The position operationalizes approved AI models, RAG services, data products, integration services, and human-in-the-loop capabilities in support of DOL agency missions.

    Essential Duties

    • Develop full-stack AI-enabled applications, APIs, microservices, dashboards, workflow automations, and enterprise-system integrations.
    • Implement capabilities using approved LLMs, RAG pipelines, classification models, document intelligence, predictive analytics, generative AI, agentic workflows, and MCP-based services.
    • Develop backend services that integrate with approved models, vector stores, data platforms, identity providers, enterprise systems, and Government-approved cloud services.
    • Build accessible web interfaces and dashboards that meet Section 508 and WCAG 2.1 Level A/AA requirements.
    • Implement user-facing human-in-the-loop controls, including review queues, decision-support displays, overrides, approvals, escalation mechanisms, correction/feedback workflows, audit trails, and role-based access.
    • Ensure AI outputs are clearly identified, appropriately grounded in approved sources, and presented with citations, limitations, and required user controls.
    • Develop modular, maintainable, testable code using secure software-development practices, code reviews, version control, automated testing, and CI/CD.
    • Implement application security controls, including authentication, authorization, input validation, API security, secrets management, encryption, logging, error handling, and rate limiting.
    • Support AI-security controls, including prompt-injection defenses, safe prompt/context handling, output validation, controlled tool use, and audit logging.
    • Develop and maintain unit, integration, API, regression, performance, security, and accessibility tests.
    • Create and maintain technical documentation, architecture records, configuration documentation, deployment scripts, runbooks, release notes, and knowledge-transfer artifacts.
    • Support production monitoring, release activities, incident response, defect resolution, and continuous improvement.

    Required Qualifications

    • Bachelor’s degree in computer science, software engineering, information systems, or a related technical discipline.
    • At least three years of experience in software development, full-stack development, application integration, API development, or cloud-native development.
    • Proficiency in Python, JavaScript/TypeScript, Java, C#, or other modern programming languages.
    • Experience with REST APIs, relational and/or NoSQL databases, Git, automated testing, CI/CD, and modern software-development practices.
    • Experience or demonstrated proficiency integrating AI/ML, LLM APIs, RAG, NLP, search, automation, document intelligence, or comparable AI-enabled capabilities.
    • Familiarity with application-security principles and secure-coding practices.
    • Ability to work effectively in a cross-functional agile environment.
    • Must be willing to work 3 days onsite at customer site in Washington, DC.

    Preferred Qualifications

    • Experience with React, Angular, Vue, Node.js, FastAPI, Flask, Django, Spring Boot, .NET, or similar modern web/application frameworks.
    • Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, MCP, AI orchestration frameworks, or vector-store integrations.
    • Experience with Docker, Kubernetes, serverless technologies, infrastructure as code, API gateways, or cloud-native architectures.
    • Experience developing Section 508-compliant applications or performing accessibility remediation.
    • Experience supporting Federal IT, Government repositories, secure DevSecOps environments, or FedRAMP-authorized cloud services.

    Summary of Benefits

    • 15 PTO days
    • 11 paid holidays
    • Medical Insurance with – 3 options (HSA with $600 Employer Contribution).
    • Dental Insurance with no age limit orthodonture.
    • Vision Insurance through EyeMed in and out of network coverage.
    • Short Term and Long-Term Disability coverage with 100% premium support,
    • Life insurance and AD&D with 100% premium support
    • Supplemental Life Insurance
    • Critical Care and Accident Insurance availability
    • Pet Insurance through Nationwide
    • Employee Assistance Program
    • 401k with enrollment from day one. 4% deferral by company.
    • $1500 Annual Training Budget
    • $1500 Referral bonus
    • Eligibility for annual merit and discretionary bonus
    • Flexible work arrangements

    Equal Opportunity Employer Minority/Female/Veterans/Disabled

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